Real-Time Frame Model: a learned renderer that generates interactive views of a persistent scene from posed images, without building an explicit 3D representation.
Trained end-to-end on video; predicts new frames from earlier frames and camera pose.
Languages
Not collected
Context caching
Not collected
No published prompt-cache contract or discounted input-token tariff. Internal spatial/KV memory, reusable scene prompts and stored exports are different mechanisms.
Published price
Not collected
No model-specific numerical price verified for this research or early-access model.
No stable API model selector verified; task names and descriptive research labels are not checkpoint selectors.
Access
A browser demo is linked from the research announcement. No current commercial API selector, price or production service commitment verified.
Regions
No model-specific selectable processing region or data-residency commitment verified.
Endpoint pricing has not been collected. Check the provider for applicable rates.
Data & enterprise terms
Retention, training use, regional processing and enterprise terms have not been summarized for this endpoint.
Caching
Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.
01 / INITIAL INPUTProcess & retain
The system processes eligible input and retains reusable state.
02 / LATER REQUESTCheck available state
Reuse depends on matching input, session state and the cache policy.
03 / CACHE HITReuse & generate
Reusing state can reduce repeated work. Any charges follow the billing rules below.
World Labs RTFM research demo
Not verified
How it works
Not collected
Minimum reusable input
Not collected
Lifetime & refresh
Not collected
How to enable it
Not collected
Usage fields
Not collected
Billing rules
Not collected
Limits & data boundaries
Not collected
No verified cache rate for this endpoint. An empty rate is not a zero charge.
Caching reviewed 14 Oct 2026
What the measurements say
No benchmark observations have been added for this model. We do not turn a vendor description into a performance score.
Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.
The record behind the model
Why it is included
World Labs identifies its AI models as proprietary, retains their intellectual property and restricts redistribution and reverse engineering. Public APIs, generated 3D assets and the open Spark renderer do not provide the underlying model weights. Historical research-checkpoint distribution remains unverified.
